Membro dal giorno 2026
Works Meet Play: Skills Spawn
Earned apr 23, 2026 EDT
Create ML Models with BigQuery ML
Earned gen 28, 2026 EST
Boost Productivity with Gemini in BigQuery
Earned gen 27, 2026 EST
Work with Gemini Models in BigQuery
Earned gen 21, 2026 EST
Using BigQuery Machine Learning for Inference
Earned gen 20, 2026 EST
Gemini for Data Scientists and Analysts
Earned gen 20, 2026 EST
Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows. Duet AI was renamed to Gemini, our next-generation model.